Business Analytics
& Data Science

That which is Measured Improves


Data
Warehouse


Data and Information are the core of any business strategy. In today’s ever-expanding volume of information coming from across a diverse set of sources poses severe information management challenges. It just becomes more complex when most of the data is in unstructured format.

A data warehousing solution that adds a real business value is based on solid design, architecture and methodically designed, easy-to-maintain Extraction, Transformation, and Load (ETL) processes.

Database
Architecture &
Engineering

Source Data
Analysis, Validating
& Cleansing,
Transformation &
Migration

Data Marts
& Cubes

Data Integration &
Synchronisation
across heterogeneous
sources

Visualisation


To maintain continued success and growth, enterprises need custom solutions that address their business specific needs. Dynamic Elements leverages the reliable products and technologies to build a custom business solution that matches to business objectives and requirements.

BI Reports - Static
and Drill Through

Realtime Reports

Dashboards

OLAP Cubes

Analytics & Machine Learning


Visualizing information and gaining insights are inevitable. However, in a competitive business environment, businesses need to look beyond!

With hidden data patterns around specific business experiences, systems can be trained to predict the outcome and take most appropriate actions. The availability of sophisticated analytical tools and Machine Learning algorithms on demand via the Cloud have significant ramifications for Cognitive computing, Data Science, App Development and Data Modeling

Segmentation

Data Mining, Text
Mining

Predictive
Modelling, NLP

ETL

Microsoft SQL Server Integration Services
Oracle Data Integrator
Pentaho Data Integration
Informatica PowerCenter
IBM InfoSphere

BI

SSRS
PowerBI
Microstrategy
Qlick
Tableau

Machine Learning

R, Python, Scala
Azure ML Studio
Amazon Machine Learning

Database

Microsoft SQL Server
Oracle
Greenplum
MongoDB
PostgreSQL